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Remote sensing approach to detect post-fire vegetation regrowth in Siberian boreal larch forest

机译:探测西伯利亚北方落叶松林火后植被重生的遥感方法

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摘要

Remote sensing with time series data offers considerable potential in the trajectory of post forest fire dynamics beyond the current monitoring of structural attributes that are displayed in the post-fire area. Many studies have addressed this topic by using time series remote sensing indices; however, this approach has sometimes been demonstrated as an unrealistic and biased representation of the post-fire forest patterns due to the saturation issues of vegetation indices. These saturation issues then lead to an underestimation of the forest successional stages and an overestimation of the forest recovery rate. This paper aims to develop a framework for trajectory of the post-fire forest patterns in the Siberian boreal larch forest (Larix sibirica) with the synergistic use of different remote sensing based vegetation-cover indicators derived from the Landsat time series and the WorldView-2 images. A time-series of the forest recovery index (FRI) and fractional vegetation cover (FVC) has been analyzed to estimate the rates of forest regeneration and vegetation recovery across different burn severity levels in the Siberian larch forest. The results showed that the FRI method can be used to observe the regrowth of the larch forest from the tenth year after the fire overlapping with the period of significant increase in the sapling stem volume. The post-fire larch forest canopy can fully recover to the pre-fire condition with respect to the magnitude of the FRI values after 30-47 years where the highest regeneration rate was observed in the moderate burn severity areas followed by the low and high burn severity. On the other hand, the FVC method was positively correlated with burn severity and more sensitive for evaluating the early stages of the forest succession in which the FVC dramatically increases after 5-6 years after the fire. The significant growth of FVC was accentuated by the maximum emergence of the sapling density as well as the rapid growth of herbaceous plants, grasses, shrubs, and shade-intolerant trees immediately after the fire, which could not be evaluated using the FRI. Both time series of the FRI and the FVC are valuable tools for determining the dominant stages of the post-fire larch forest succession in order to understand the relationships between fire disturbance and natural cycles of the boreal larch forest. (C) 2015 Elsevier Ltd. All rights reserved.
机译:利用时间序列数据进行的遥感提供了超越森林后火灾区域显示的结构属性的当前监测潜力的森林后火灾动态轨迹的巨大潜力。许多研究通过使用时间序列遥感指数解决了这个问题。然而,由于植被指数的饱和问题,这种方法有时被证明是对火后森林格局的不现实和有偏见的表示。这些饱和问题会导致森林演替阶段的低估和森林恢复率的高估。本文旨在利用从Landsat时间序列和WorldView-2衍生的不同遥感植被覆盖指数的协同使用,为西伯利亚北方落叶松森林(Larix sibirica)的火灾后森林格局的轨迹开发框架。图片。对森林恢复指数(FRI)和植被覆盖率(FVC)的时间序列进行了分析,以估计西伯利亚落叶松森林中不同烧伤严重程度的森林更新和植被恢复率。结果表明,FRI方法可用于观察火灾后第10年与幼树茎体积显着增加的时期之间的落叶松林的再生长。在30-47年后,相对于FRI值的大小,火灾后的落叶松林冠层可以完全恢复到火灾前的状态,在中等严重程度的烧伤地区,再生速率最高,其次是高低燃烧严重性。另一方面,FVC方法与烧伤严重程度呈正相关,并且对于评估森林演替的早期阶段更为敏感,在森林演替的早期阶段,火灾后5-6年FVC急剧增加。幼树密度的最大出现以及火灾后立即出现的草本植物,草,灌木和不耐荫的树木的迅速生长,加剧了FVC的显着增长,这无法使用FRI进行评估。 FRI和FVC的时间序列都是确定火灾后落叶松森林演替主要阶段的重要工具,以便了解火灾干扰与北方落叶松森林自然周期之间的关系。 (C)2015 Elsevier Ltd.保留所有权利。

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